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--- |
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license: apache-2.0 |
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base_model: Falconsai/text_summarization |
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tags: |
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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: text_summarization-cnn |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# text_summarization-cnn |
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This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6288 |
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- Rouge1: 0.2455 |
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- Rouge2: 0.1187 |
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- Rougel: 0.203 |
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- Rougelsum: 0.2317 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 1.8226 | 1.0 | 17431 | 1.6400 | 0.2449 | 0.1178 | 0.2024 | 0.2311 | |
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| 1.7775 | 2.0 | 34862 | 1.6288 | 0.2455 | 0.1187 | 0.203 | 0.2317 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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